Package: r2mlm 0.3.7

r2mlm: R-Squared Measures for Multilevel Models

Generates both total- and level-specific R-squared measures from Rights and Sterba’s (2019) <doi:10.1037/met0000184> framework of R-squared measures for multilevel models with random intercepts and/or slopes, which is based on a complete decomposition of variance. Additionally generates graphical representations of these R-squared measures to allow visualizing and interpreting all measures in the framework together as an integrated set. This framework subsumes 10 previously-developed R-squared measures for multilevel models as special cases of 5 measures from the framework, and it also includes several newly-developed measures. Measures in the framework can be used to compute R-squared differences when comparing multilevel models (following procedures in Rights & Sterba (2020) <doi:10.1080/00273171.2019.1660605>). Bootstrapped confidence intervals can also be calculated. To use the confidence interval functionality, download bootmlm from <https://github.com/marklhc/bootmlm>.

Authors:Mairead Shaw [aut, cre], Jason Rights [aut], Sonya Sterba [aut], Jessica Flake [aut]

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Bug tracker:https://github.com/mkshaw/r2mlm/issues

On CRAN:

7 exports 27 stars 2.41 score 37 dependencies 106 scripts 559 downloads

Last updated 9 months agofrom:d3066487e9. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:r2mlmr2mlm_cir2mlm_compr2mlm_comp_manualr2mlm_long_manualr2mlm_manualr2mlm3_manual

Dependencies:bootcarDataclidplyrfansiforeigngenericsgluekutilslatticelifecyclelme4magrittrMASSMatrixminqanlmenloptropenxlsxpillarpkgconfigplyrR6RcppRcppEigenrlangrockchalkRUnitstringistringrtibbletidyselectutf8vctrswithrxtablezip